Artificial intelligence engines need data to learn and operate, but the data you and I find meaningful is foreign to machines. Machines need data translated to their preferred language: math. This...
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Supercharge AI and ML with Synthetic Data
Synthetic data is artificially generated data that imitates real-world data without using actual information. It is generated through algorithms and statistical techniques to capture the same...
Demystifying Content Chunking In Artificial Intelligence and Enterprise Knowledge Management
We encounter content chunks every day. Think of a recipe. A recipe contains content components like a title, a list of ingredients, cooking times, pictures of food, and instructions that contain...
The Future of Knowledge in Customer Service
We live in an on-demand world. Customers expect every product delivered to the doorstep, every service ordered online, and any information they seek immediately available at their fingertips. When...
Challenges and Considerations in Natural Language Processing
The field of Natural Language Processing (NLP) has witnessed significant advancements, yet it continues to face notable challenges and considerations. These obstacles not only highlight the...
What Are Embeddings in Machine Learning?
In machine learning, embeddings are a technique used to represent complex, high-dimensional data like words, sentences, or even entire documents in a more manageable, lower-dimensional space. An...
The Evolution of AI: Introducing Autonomous AI Agents
ChatGPT and other generative AI platforms are transforming how we access information, answer questions, and even create and interpret art. But there are limitations when it comes to performing more...
What are Neural Networks and How Do They Work With Generative AI
Neural networks involve a series of algorithms designed to recognize patterns, interpret data, and make decisions or predictions. They are modeled loosely after the human brain's architecture....
Fine-tuning Large Language Models for AI Accuracy and Effectiveness
We need more than just artificial intelligence. We need virtual experts that are accurate, authoritative, and effective. It’s not enough to deploy AI technologies to answer customer service...
What Is Semantic Search and How Can It Help Your Company?
Semantic search goes far beyond the words that people use in their searches, to interpret the intent behind the words, and the greater context in which people are asking. Traditional lexical or...
9 Compelling AI Implementation Examples that Elevate Contact Center Knowledge Bases
Listing use cases for artificial intelligence (AI) is like describing how to use the internet — the AI implementation examples are nearly infinite, constrained only by the inventive minds behind the...
What Is Structured Vs. Unstructured Data? Understanding Key Differences, Uses, and Challenges
Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or...